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Online Course

Data Science: R Basics

Harvard University via edX

(8)
3.6k
Found in Data Science
  • Provider edX
  • Cost Free Online Course (Audit)
  • Session Upcoming
  • Language English
  • Certificate $49 Certificate Available
  • Effort 1-2 hours a week
  • Duration 8 weeks long
  • Learn more about MOOCs

Taken this course? Share your experience with other students. Write review

Overview

The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. You can better retain R when you learn it to solve a specific problem, so you'll use a real-world dataset about crime in the United States. You will learn the R skills needed to answer essential questions about differences in crime across the different states.

We'll cover R's functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You'll learn how to apply general programming features like "if-else," and "for loop" commands, and how to wrangle, analyze and visualize data.

Rather than covering every R skill you might need, you'll build a strong foundation to prepare you for the more in-depth courses later in the series, where we cover concepts like probability, inference, regression, and machine learning. We help you develop a skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux, version control with git and GitHub, and reproducible document preparation with RStudio.

The demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges.

Taught by

Rafael Irizarry

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Reviews for edX's Data Science: R Basics Based on 8 reviews

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  • 1
Kurp K
Kurp completed this course, spending 3 hours a week on it and found the course difficulty to be medium.
Perfect! I loved the course and I'm going to complete the whole Harvard's Data Science program (9 courses ahead). I liked the instructor, the subject is perfectly clarified and the videos are engaging. The course is very concise - no chance to get bored. Perfect solution for everyone who looks for R fundamentals and basic statistics course in one place.

I also liked that the course is integrated with DataCamp, allowing you to use your new R coding skills in practice. By the way, after completing the course, if you sign up to DataCamp, you'll receive statement of accomplishemet also from there.
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Akhil V
Akhil completed this course, spending 3 hours a week on it and found the course difficulty to be medium.
The course covers most of the basics you'll need in R. I have had a little experience with data science and R language in general, and the course sufficed as a refresher for me. Prof Irizarry takes you through a series of hands-on R applications with assignments on datacamp.

I'd recommend it to any beginner who wants to grasp a broad concept and applicability of R language, though the concepts don't go very deep in general.
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Patrice J
by Patrice completed this course.
I found it to be an engaging introduction to R. In it base functions and some verbs of the popular R package dplyr were taught. Practice exercises were done in the Datacamp console which I appreciated, especially since I am already familiar with it. The professor was clear and the lessons were well paced. I am looking forward to the rest of the courses in this series.
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Anonymous
Anonymous completed this course.
Challenging but very doable. I wish the assents were a little bit better constructed, but they still are great for learning.
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Anonymous
Anonymous completed this course.
I just finished the course. I believe it provides a fairly simple introduction to R programming. The course is well structured, video lectures are good. The fact that key points are written under the video is quite helpful if you need a quick reminder when working on the assignments.

I did not think the course was particularly hard. If you have some programming experience you will certainly face no problems. If you are new to programming this is also quite doable, assessments walk you through the solving problem process and you can always return to the lectures. I finished the course in less than a week probably took me about 5 hours in total.
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Susann
Susann completed this course, spending 1 hours a week on it and found the course difficulty to be easy.
The course explains the basics very well. The exercises are useful, but the instructions on Datacamp are sometimes not clear. However, discussions in the forum helped to clear those questions.
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Tushar T
by Tushar is taking this course right now, spending 2 hours a week on it and found the course difficulty to be medium.
The course is well designed and is very good introduction to R and examples makes things easy to understand. Recommended for any begginer.
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Claudia S
Claudia completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
A really good introduction to R! You'll get to know a great deal in a concise and fun way.

I recommend consulting the textbook here and there.
Was this review helpful to you? Yes
  • 1

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